Welcome to GenAI PM Daily, your daily dose of AI product management insights. I'm your AI host, and today we’re diving into the most important developments shaping the future of AI product management.
In a partnership unveiled at AfricaCom, Google and Cassava Technologies will offer data-free access to the Gemini App and a six-month trial of Google AI Plus. The package includes Gemini 2.5 Pro, 200 gigabytes of cloud storage, NotebookLM for document-based querying, and Flow by Google for workflow automation—opening up AI experiences in connectivity-challenged regions.
On the product front, Andrew Ng introduced Design, Develop, and Deploy Multi-Agent Systems in collaboration with CrewAI. The course teaches agent and task definitions, inter-agent communication, tool integration, memory architecture, and production best practices like tracing for error identification, lifecycle hooks, and ongoing evaluation, with examples in fraud detection, returns automation, and customer analytics.
Separately, Dharmesh Shah introduced Company Research agent—a simple AI interface to surface information on startups and corporations, streamlining competitive analysis and due diligence.
Meanwhile on the tools side, LangChain outlined deep agents engineered with state persistence, proactive planning, hierarchical task decomposition, and adaptable planning horizons, enabling reliable handling of complex, long-running workflows.
Additionally, Philipp Schmid shared nine prompt-engineering tips for Google AI Studio and Gemini, including setting clear objectives, using structured input templates, performing iterative prompt tests, and tuning parameters to refine outputs.
In related developments, Llama Index highlighted how Pathwork used LlamaParse to automate life insurance document processing, extracting data from medical records and scanned PDFs to scale throughput from 5,000 to 40,000 pages per week.
Lenny Rachitsky noted that AI speeds development for all, so PMs must pivot to creative distribution—viral loops, platform integrations, and strategic partnerships—as traditional channels lose effectiveness.
Jason Zhou cautioned against building tools with PMs as primary users, arguing they often lack budgets and standard processes, and no PM-focused product has broken out in recent years.
George Nurijanian issued a workflow reality check, noting design mocks and engineering estimates frequently misalign in practice. He urged PMs to audit handoffs closely and tighten process accountability.
Rowan Cheung revealed Fireflies AI’s founders once pretended to be an AI notetaker—joining meetings on mute and taking manual notes—an early tactic that helped drive adoption on the path to a $1 billion-plus valuation.
Additionally, Mustafa Suleyman stressed that understanding AI demands balancing amazement at its capabilities with vigilance toward its risks, underscoring the technology’s double-edged nature.
Finally, Google CEO Sundar Pichai announced the company’s largest AI investment in Germany to date, funding research centers, startup grants, and infrastructure upgrades to help businesses and citizens thrive in the AI era.
That's a wrap on today's GenAI PM Daily. Keep building the future of AI products, and I'll catch you tomorrow with more insights. Until then, stay curious!